~/aboneto.dev/category/Artificial Intelligence

#Artificial Intelligence

posts:11 last_update:2026-05-30 avg_read:~7min

// all posts — ordered by date desc

[01] 30·May·2026
Opencode Go vs Claude Code: A real 11-day analysis

Opencode Go vs Claude Code: A real 11-day analysis

$60 in API consumption for a $10 subscription. A real 11-day analysis comparing Opencode Go vs Claude Code: costs, limits, and when it makes sense to switch.

~9min
[02] 21·May·2026
Demystifying AI First: The Strategic Priority

Demystifying AI First: The Strategic Priority

AI First isn't about putting AI in everything nor an isolated strategy. It's a strategic priority that coexists with Data First, Security First, and Cloud First. The architect's role: ensuring priorities outside the top 5 don't get lost.

~7min
[03] 18·May·2026
Multi-Agent: beyond speed, a strategy to isolate context and optimize costs

Multi-Agent: beyond speed, a strategy to isolate context and optimize costs

When someone starts working with agents, the first instinct is usually to load the main agent with all available skills, all connected tools, and a giant system prompt where you...

~14min
[04] 16·May·2026
HITL in Vibe Coding and IaC: Avoid the Long Bill

HITL in Vibe Coding and IaC: Avoid the Long Bill

In 2026, corporate discourse goes almost entirely in one direction: autonomous agents, full automation, self-healing pipelines. The promise is seductive because it sells. The operational reality is that almost...

~7min
[05] 15·May·2026
Fine-tuning vs. RAG: When Each One Has Real ROI in Production

Fine-tuning vs. RAG: When Each One Has Real ROI in Production

We already saw how to lower inference costs using open-weight models like Qwen 3.5 in the article Reducing Production Costs: Qwen 3.5 on AWS vs Commercial APIs. But once you have the base cost under control, you face another problem: how to give the model specific knowledge about your business.

~4min
[06] 13·May·2026
LLM-as-a-Judge: how to build scalable AI evaluation pipelines

LLM-as-a-Judge: how to build scalable AI evaluation pipelines

Prompts in systems with Large Language Models (LLMs) don't behave like deterministic code. In traditional software development, if you modify a function and all tests pass, you can...

~9min
[07] 13·Apr·2026
Reducing LLM Costs by Up to 90% with Open-Weights Models

Reducing LLM Costs by Up to 90% with Open-Weights Models

Lately there's a lot of talk about "free" LLMs, heavily promoted by tech influencers. But are they really free? You have to…

~21min
[08] 25·Mar·2026
Claude, Vibe Coding and the False Promise of Operational Autonomy

Claude, Vibe Coding and the False Promise of Operational Autonomy

There's a lot of talk about Vibe Coding and agent-based workflows with Claude, and for good reason. We're no longer limited to autocompletion; the goal…

~3min
[09] 22·Mar·2025
O impacto da IA no desenvolvimento de software: ameaça ou oportunidade?

O impacto da IA no desenvolvimento de software: ameaça ou oportunidade?

Existe uma preocupação crescente na comunidade de desenvolvimento em relação ao rápido avanço da IA, especialmente no âmbito do…

~6min
[10] 22·Mar·2025
The impact of AI on software development: threat or opportunity?

The impact of AI on software development: threat or opportunity?

There is a growing concern in the development community regarding the rapid advance of AI, especially in the field of…

~5min
[11] 16·Feb·2025
Risks and precautions when using AI for software development in organizational environments

Risks and precautions when using AI for software development in organizational environments

The rise of AI-based software development tools poses a growing risk to the security of organizations.

~2min